BTAD

Bacterial transcriptional activator domain

SMART accession number:

SM01043

Description:

Found in the DNRI/REDD/AFSR family of regulators. This region of AFSR (P25941) along with the C terminal region is capable of independently directing actinorhodin production. This family contains TPR repeats.

Found in the DNRI/REDD/AFSR family of regulators, this domain of AFSR (P25941) along with the C-terminal region is capable of independently directing actinorhodin production. AFSR is important for the formation of secondary metabolites [(PUBMED:2253887)].

New knowledge from old: in silico discovery of novel protein domains inStreptomyces coelicolor.

BMC Microbiol. 2003; 3: 3-3

Display abstract

BACKGROUND: Streptomyces coelicolor has long been considered a remarkablebacterium with a complex life-cycle, ubiquitous environmentaldistribution, linear chromosomes and plasmids, and a huge range ofpharmaceutically useful secondary metabolites. Completion of the genomesequence demonstrated that this diversity carried through to the geneticlevel, with over 7000 genes identified. We sought to expand ourunderstanding of this organism at the molecular level throughidentification and annotation of novel protein domains. Protein domainsare the evolutionary conserved units from which proteins are formed.RESULTS: Two automated methods were employed to rapidly generate anoptimised set of targets, which were subsequently analysed manually. Afinal set of 37 domains or structural repeats, represented 204 times inthe genome, was developed. Using these families enabled us to correlateitems of information from many different resources. Several immediatelyenhance our understanding both of S. coelicolor and also general bacterialmolecular mechanisms, including cell wall biosynthesis regulation andstreptomycete telomere maintenance. DISCUSSION: Delineation of proteindomain families enables detailed analysis of protein function, as well asidentification of likely regions or residues of particular interest. Hencethis kind of prior approach can increase the rate of discovery in thelaboratory. Furthermore we demonstrate that using this type of in silicomethod it is possible to fairly rapidly generate new biologicalinformation from previously uncorrelated data.